UX Designer

The requirements are as follows:

1) Familiar with the the Django REST API Framework.

2) Experience with the FAST API framework will be a plus

3) Strong grasp of basic python programming concepts ( We do ask a lot of questions on this on our interviews :) )

4) Experience with databases like MongoDB , Postgres , Elasticsearch , REDIS will be a plus

5) Experience with any ML library will be a plus.

6) Familiarity with using git , writing unit test cases for all code written and CI/CD concepts will be a plus as well.

7) Familiar with basic code patterns like MVC.

8) Grasp on basic data structures.

You can contact me on nine three one six one two zero one three two

🚀 We're Hiring! 🚀

opportunity 🌟

Looking for Backend + Flutter Developers proficient in Node, MongoDB, SQL, Google Cloud, Flutter, MVVM, Provider. Interested?

Fill this Google form for this Opportunity 🔥

https://forms.gle/1hLJ5g55TtvyJwnG8

salary = 5k to 20k

Remote work

Join WhatsApp group for furthur hiring task

Given in Google form.

Korevariance is looking for a detail-oriented individual to join us as a Remote Data Entry Operator. This is a Full Time/ Part Time Position, This position is for anyone in the United States and Canada, You can work from home and your phone or Tablet with us. We are seeking a detail-oriented data entry operator to compile, capture, and maintain our digital database. As a data entry operator, you will be required to compile, merge, and format documents for data entry, check documents for errors, input data update the database, and manage the digital filing systems. To be a successful data entry operator, you should possess excellent typing skills and be attentive to detail. Skilled data entry operators should be able to quickly identify data errors and demonstrate precision in their work.

Responsibilities:

Gathering, collating, and preparing documents, materials, and information for data entry.

Researching to obtain information for incomplete documents and materials.

Creating digital documents from paper or dictation.

Reviewing all documents and information for accuracy and informing the supervisor of any errors or inconsistencies.

Capturing data into digital databases and performing regular backups.

Updating and maintaining databases, archives, and filing systems.

Monitoring and reviewing databases and correcting errors or inconsistencies.

Generating and exporting data reports, spreadsheets, and documents as needed.

Performing clerical duties such as filing, monitoring office supplies, scanning, and printing as needed.

Requirements:

Excellent typing abilities.

Excellent time management and multitasking abilities.

Proficiency in data capturing and office management software such as MS Office and Google Suite.

The ability to manage and process high volumes of data accurately.

Good understanding of databases and digital and paper filing systems.

Knowledge of administrative and clerical operations.

A keen eye for detail and the ability to concentrate for extended periods.

Excellent verbal and written communication skills.

We've Got The Perks:

Work from Home

Paid Training

Incentives for Bilingual Spanish Speakers

Full-time and Part-time options are available

New 32-hour Full-time work week available (benefit eligible)

Full-time employees are eligible for Medical, Dental, Vision, Life Insurance, Supplemental Benefits, and 401K

Flexible scheduling

Growth opportunities

Hii !!

Greetings from MNR Solutions!!

Job Profile- Area Operations Manager

Job Location- Indore, MP.

Experience req.- 6+ years (min.)

Area of responsibility-

• Manage and deliver the KPI's – Sales, Shrinkage, Commerciality, Customer Service, Standards are met
• Ensure that you have the right people who are sufficiently trained/developed to deliver for our customers.
• Ensure the smooth operations of your area (Eye Testing Quality, Delivers a commercially well laid out store, Achieving all operational KP)
• Deliver the shopping experience that our customers demand.

Person Specifications

• Full Time Postgraduate with 7-9 years of relevant experience into retail industry
• Post-Graduation is a must
• Very strong communication skills- both written and verbal and must be a good orator
• Should have hands on experience working on Microsoft Office- Including Excel, PPT & Word Sales oriented.

Competencies & Traits

Influencing Skills Problem Solving & Decision Making Planning & Organizing Project Management with Collaboration and Inclusion Communication Skills Extroversion & Approachability Leadership Financial & Business Acumen Customer Obsession Assertiveness Self Motivated & Resilient Managing Pressure & Setbacks Process Orientation

Must have 6+ years of experience in Retail Industry to grab this great opportunity to work with Indian's leading Brand.

Interested candidates can apply asap.

Thanks & regards

Neetu Dhiman.

Responsibilities:

• Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world.
• Verifying data quality, and/or ensuring it via data cleaning.
• Able to adapt and work fast in producing the output which upgrades the decision making of stakeholders using ML.
• To design and develop Machine Learning systems and schemes. 
• To perform statistical analysis and fine-tune models using test results.
• To train and retrain ML systems and models as and when necessary. 
• To deploy ML models in production and maintain the cost of cloud infrastructure.
• To develop Machine Learning apps according to client and data scientist requirements.
• To analyze the problem-solving capabilities and use-cases of ML algorithms and rank them by how successful they are in meeting the objective.

Technical Knowledge:

• Worked with real time problems, solved them using ML and deep learning models deployed in real time and should have some awesome projects under his belt to showcase. 
• Proficiency in Python and experience with working with Jupyter Framework, Google collab and cloud hosted notebooks such as AWS sagemaker, DataBricks etc.
• Proficiency in working with libraries Sklearn, Tensorflow, Open CV2, Pyspark,  Pandas, Numpy and related libraries.
• Expert in visualising and manipulating complex datasets.
• Proficiency in working with visualisation libraries such as seaborn, plotly, matplotlib etc.
• Proficiency in Linear Algebra, statistics and probability required for Machine Learning.
• Proficiency in ML Based algorithms for example, Gradient boosting, stacked Machine learning, classification algorithms and deep learning algorithms. Need to have experience in hypertuning various models and comparing the results of algorithm performance.
• Big data Technologies such as Hadoop stack and Spark. 
• Basic use of clouds (VM’s example EC2).
• Brownie points for Kubernetes and Task Queues.      
• Strong written and verbal communications.
• Experience working in an Agile environment.